Last year, Treehouse Labs unveiled BiKN Technology Platform, a 802.15.4 wireless sensor network that allows you to track objects fitted with Bikn tags within 60 m, and find your lost keys at home, your car in a parking lot, or track your pets location for example. A solution for the iPhone is available, and a kit with 2 tags and an iPhone case costs about $130. Since a case is required (for 802.15.4 support), this solution is unfortunately impractical for the variety of Android phones. Luckily, there’s now a new solution based on Bluetooth called StickNFind, by SSI America, which works both for Android 4.0 (and up) devices and iPhones. The StickNFind tags are based on Bluetooth 4.0 (Bluetooth Low Energy), have a line-of-sight range of about 30meters, and are powered by a replaceable CR2016 (or CR2020?) watch battery which can last up to 1 year for 30 minutes daily average use. They also feature a buzzer and a light, so …

NXP and Treehouse Labs has unveiled BiKN technology platform that uses low-power 802.15.4 wireless chip technology from NXP Semiconductors to enable the “Internet of Things” and opens new markets and applications for affordable wireless sensor and control networks. This technology allows to track “Smart Objects” tagged by wireless sensors and monitor (and possibly control) them via an application running on mobile devices, PC or Cloud servers. BiKN Technology Platform can be used in a range of applications including home and industrial automation, smart energy management, improving tracking and monitoring of equipment and inventory in retailing and hospitality, enhancing safety monitoring and security in healthcare, social services, athletics and educational environments. BiKN Technology Platform works by integrating hardware and software, operating through mobile and web-enabled devices, and leveraging IEEE802.15.4 low-power networking standards. Treehouse Labs uses the NXP JN5148 ultra low-power wireless microcontroller and the JenNet-IP open source wireless network protocol stack optimized for low-power, low-data rate, and cost-sensitive applications. Using an …

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